Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.
DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.
We demonstrate the application of inkjet-printed near room-temperature chemiresistors composed of polymer-carbon black (CB) composites for detecting and classifying volatile organic compounds (VOC). Our results demonstrate that the printed sensors can selectively detect the target analytes at 28°C. The sensor’s selectivity is correlated to their Hansen solubility parameters (HSP), and their response dynamic is adjusted by the polymer glass transition temperature (T g ). Using the principal component analysis (PCA), we demonstrate that the selected polymers can successfully discriminate between chemically diverse analytes. Hence, showing the potential of inkjet-printable polymer composites with representative HSPs as low power and cost-effective VOC sensors. Such sensors can be readily integrated with wearable and flexible electronics.
Véronique Michaud, Joël Cugnoni, Guillaume Clément Broggi, Alexios Argyropoulos, Abdullah Aydemir
Véronique Michaud, Valentin Rougier